PEDAGOGICAL USE

The use of bilingual text-mining system is introduced to EdUHK courses for 3 types of learning analytics supports.

(1) The system can automatically identify and count the matching keywords mentioned in students’ reflection texts,

according to the frameworks of topic-specific keywords established by the teachers.

(2) The system can automatically generate hierarchical visualization of text-mining results, of which the zoom-able

diagrams incorporate a number of statistical quantities for interpreting text-mining results from the individual-

student, student-group, and whole-class perspectives.

(3) The system can automatically analyze students’ major focuses in their learning reflection, for checking students’

strengths and inadequacies in understanding the topic-specific concepts.

These learning analytics supports are empirically examined to be effective for stimulating and guiding students to check

learning inadequacies, identify areas of improvement, and re-think learning focuses in course learning.

“Individual / Class” comparison “Group / Class” comparison

LexRank analysis NE-Rank and HG-Rank analyses

BILINGUAL TEXT-MININGKONG Siu Cheung (sckong@eduhk.hk)

KWOK Wai Ying, Linda (waiyingk@eduhk.hk)

POON Chun Wing (pooncw@eduhk.hk)

CHEN Guanghe, Dillan (gchen@eduhk.hk)

MA Chenglong (clma@eduhk.hk)

Centre for Learning, Teaching and Technology, The Education University of Hong Kong

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